GPU Cloud India

GPU Hosting in India — H100, H200 & B200 Nodes from ₹55,000/month

Pick a node, get a firm monthly quote, then go live. Full prices below — in rupees and dollars.

Get a GPU Quote See GPU Pricing
L40S to B200-class GPU nodes India DC, Mumbai, DPDP Monthly nodes, 1-month minimum 17 years infra ops since 2009 INR billing, no forex risk
Running production workloads for
Revolt MotorsPC JewellerRR KabelImpresarioIntentwiseLoomBhimaBGaussMitutoyo
What GPU hosting includes here
GPU hosting
GPU hosting in India is the monthly rental of dedicated NVIDIA GPU nodes, L40S to B200-class, deployed in Mumbai. ZenoCloud prices start at ₹55,000 ($599) per node per month on a 1-month minimum, publishes both INR and USD rates, and offers a managed ops add-on covering setup, drivers, CUDA, and monitoring.
Managed ops for GPU servers
Managed ops for GPU servers means the provider handles driver setup, CUDA configuration, and uptime monitoring instead of leaving the customer to administer bare GPU instances. ZenoCloud offers this as a flat add-on of ₹15,000 ($179) per node per month, delivered by our engineers with a 15-minute P1 incident response target.
How much does GPU hosting cost in India?
GPU hosting in India costs ₹55,000 to ₹3,95,000 ($599 to $4,499) per node per month as of July 2026: L40S ₹55,000, A100 80GB ₹97,000, H100 ₹1,80,000, H200 ₹2,50,000, B200 ₹3,95,000. Effective hourly rates run ₹75 to ₹541. All rates are monthly commitments with a 1-month minimum.
L40S–B200
GPU Classes in India DCs
99.9%
Uptime SLA
2009
Running Infra Since
<15 min
P1 Incident Response

GPU pricing in India, Mumbai

ZenoCloud GPU pricing: Mumbai location, per node, per month, 1-month minimum. Prices checked July 2026. Managed ops add-on: ₹15,000 ($179) per node/month.

NVIDIA H100 80GB
VRAM 80GB HBM3
Best For 70B+ training, high-throughput inference, clusters
Per Node / Month ₹1,80,000$2,099
≈ Effective / hr ₹247$2.88
NVIDIA H200 141GB
VRAM 141GB HBM3e
Best For 405B-class models, DeepSeek V3, long-context serving
Per Node / Month ₹2,50,000$2,799
≈ Effective / hr ₹342$3.83
NVIDIA A100 80GB
VRAM 80GB HBM2e
Best For 70B inference (FP16), Llama 3.1 70B, Mixtral
Per Node / Month ₹97,000$1,099
≈ Effective / hr ₹133$1.51
NVIDIA B200 192GB
VRAM 192GB HBM3e
Best For Frontier-scale training, largest open models
Per Node / Month ₹3,95,000$4,499
≈ Effective / hr ₹541$6.16
NVIDIA RTX PRO 6000 96GB
VRAM 96GB GDDR7
Best For Image/video generation, quantized 70B inference, fine-tuning
Per Node / Month ₹1,10,000$1,249
≈ Effective / hr ₹151$1.71
NVIDIA L40S 48GB
VRAM 48GB GDDR6
Best For 13B models, Stable Diffusion XL, image gen
Per Node / Month ₹55,000$599
≈ Effective / hr ₹75$0.82
AMD MI300X 192GB
VRAM 192GB HBM3
Best For Large-memory inference; MI325X also available
Per Node / Month On request
≈ Effective / hr On request

* Monthly commitment, 1-month minimum; there is no hourly product. ≈ ₹/hr = monthly ÷ 730, shown for comparison only. INR prices attract 18% GST; we issue GST invoices so registered Indian businesses can claim input tax credit. Managed ops add-on: ₹15,000 ($179) per node/month. More configurations and multi-node NVLink clusters on request.

From first benchmark to production endpoint

Raw GPU rental gives you a box. ZenoCloud gives you a running, managed deployment: benchmark first, then bare metal to a live API endpoint.

Benchmark on the exact hardware

Qualified teams benchmark on the exact hardware before committing to a month. Share the model, concurrency, and production timeline, and our engineering team scopes the right GPU class.

Runtime installed for you

vLLM, Ollama, TGI, or TorchServe configured for your model family. CUDA 12.4, cuDNN 9.0, and NCCL all handled. Bring your HuggingFace checkpoint or S3 URL.

OpenAI-compatible API endpoint

Drop-in replacement for openai.api_base: HTTPS endpoint at your subdomain, set up as part of your deployment. No application code changes required to switch from OpenAI.

India DC, single-tenant, DPDP

Bare metal in Mumbai, single-tenant. Inference payloads stay on your server; we collect infrastructure metrics only. LUKS encryption at rest, DPA available. Mumbai jurisdiction satisfies DPDP Act 2023.

INR billing with GST invoices

Hand-set INR and USD prices on every node; no forex exposure for Indian teams. GST invoices support input tax credit. Wire transfer and UPI accepted.

24/7 NOC, <15-min P1 response

Prometheus and Grafana dashboards: GPU utilization, p50/p95/p99 latency, queue depth, error rate. Alerts go to our NOC, not your inbox. systemd restarts vLLM automatically on crash.

ZenoCloud GPU vs RunPod / Lambda

RunPod and Lambda give you a server. ZenoCloud gives you a running managed deployment in an India datacenter, with INR billing and a team who handles the ops.

RunPod / Lambda (US)
ZenoCloud (India, Managed)
H100 monthly cost (as of July 2026)
Lambda on-demand ≈ $3,132/mo effective
₹1,80,000 ($2,099)/mo
A100 80GB monthly cost (as of July 2026)
Lambda on-demand ≈ $2,037/mo effective
₹97,000 ($1,099)/mo
B200 monthly cost (as of July 2026)
Lambda on-demand ≈ $5,103/mo effective
₹3,95,000 ($4,499)/mo
OS + CUDA stack setup
vLLM / runtime configured
Model download + configuration
OpenAI-compatible API endpoint
Grafana monitoring dashboard
24/7 ops (crash recovery, NOC)
India DC (DPDP compliance)
INR billing, no FX risk
15-min P1 incident response
Self-serve control panel

Price rows compare ZenoCloud monthly commitments (1-month minimum, Mumbai) with the effective monthly cost of Lambda's on-demand per-GPU rates published at lambda.ai in July 2026, assuming full-month usage. RunPod and Lambda rates vary by region and availability.

See Managed GPU Pricing
FAQ

GPU hosting questions

Which GPU should I pick for my model?
13B models and image generation: L40S. Quantized 70B inference and fine-tuning: RTX PRO 6000 or A100 80GB. 70B FP16: A100 80GB or H100. 405B+ (Llama 3.1 405B, DeepSeek V3): H200 or B200 multi-GPU nodes. We recommend the right GPU in a free scoping call based on your concurrency and budget.
How much does an H100 server cost per month in India?
₹1,80,000 ($2,099) per month for a dedicated H100 80GB node at our Mumbai location, about ₹247 ($2.88)/hr effective, as of July 2026. The monthly commitment covers the node itself; the managed ops add-on is priced separately.
How does monthly GPU pricing work?
Every node is priced per month with a 1-month minimum; there is no hourly product. Each row also shows an effective ₹/hr (monthly price divided by 730 hours) so you can compare against hourly clouds. The managed ops add-on is a flat ₹15,000 ($179) per node per month and covers setup, drivers/CUDA, monitoring, and a <15-minute P1 response.
Do GPU prices include GST?
INR prices are exclusive of 18% GST. Every invoice is a GST invoice, so GST-registered Indian businesses can claim the full tax as input tax credit, keeping the effective cost at list price. USD billing for international teams carries no GST. The managed ops add-on is billed the same way. Wire transfer and UPI both accepted.
How is ZenoCloud different from RunPod or Lambda?
RunPod and Lambda give you root access to a GPU server: you install CUDA, configure vLLM, set up monitoring, and handle incidents yourself. ZenoCloud's managed ops add-on covers all of that plus 24/7 operations, automated crash recovery, and an OpenAI-compatible API endpoint set up for you. And we're in India: DPDP-compliant, INR billing, no forex exposure.
How long does GPU provisioning take?
Single-GPU setups (L40S, RTX PRO 6000) are ready in 2–3 business days. A100 single-node takes 3–5 days. H100, H200, and B200 multi-node NVLink clusters take 5–7 days. We confirm lead time during the scoping call and keep you updated throughout.
Does this satisfy DPDP Act 2023 data localization requirements?
Yes. All inference runs at our Mumbai location within Indian jurisdiction. Inference payloads and responses stay on your GPU server; we collect only infrastructure metrics (GPU utilization, container health). We sign a Data Processing Agreement confirming no data is used for training or leaves India.
Can I bring my own fine-tuned model or HuggingFace checkpoint?
Yes. Provide a HuggingFace Hub repo URL (public or private with read token), an S3-compatible bucket URL, or local .safetensors checkpoints. We upload the model to your NVMe storage, encrypted at rest with LUKS, and configure vLLM. LoRA and PEFT adapters are merged or applied at runtime.
Can I evaluate a GPU node before the monthly term begins?
For qualified teams, yes — we provision a benchmark node so you can validate your model on the exact hardware before the monthly term begins. Request one with your model, concurrency, and production timeline, and our engineering team scopes the right configuration.
India's managed GPU cloud

Deploy your first model in 5 business days.

Tell us your model, concurrency requirements, and compliance needs — an engineer replies with a firm monthly quote in one business day. Qualified teams can benchmark on the exact hardware first.

Get a GPU Quote Talk to a GPU Engineer
+1 714 242 5683 · +91 99991 08033 · support@zenocloud.io

GPU hardware by model

Each GPU page has the monthly price, chip specs, a model-fit table, and class-specific FAQs.

H100 GPU Servers

80GB HBM3 · ₹1,80,000/mo · LLM training, 70B+ fine-tuning

H200 GPU Servers

141GB HBM3e · ₹2,50,000/mo · 405B+ models, DeepSeek V3

A100 GPU Servers

80GB HBM2e · ₹97,000/mo · 70B inference, Mixtral

B200 GPU Servers

192GB HBM3e · ₹3,95,000/mo · frontier-scale training

RTX PRO 6000 Servers

96GB GDDR7 · ₹1,10,000/mo · image gen, quantized 70B

L40S GPU Servers

48GB GDDR6 · ₹55,000/mo · 13B inference, image gen

L4 GPU Servers

24GB · light inference and dev/test, on request

AI Infrastructure Pillar

LLM hosting, inference, training, ML ops